Jeffrey D. Blume is Professor of Data Science and Quantitative Foundation Associate Dean for Academics and Faculty Affairs in the School of Data Science at the University of Virginia. A Biostatistician by training, Professor Blume spent 8 years at Brown University and 13 years at Vanderbilt University engaging in collaborative science, methodological research, and building educational programs. Dr. Blume’s expertise spans the foundations of statistical inference, mediation modeling, prediction modeling, and clinical trials. His work in prediction modeling with missing data, empirical Bayes regularization, and large-scale inference in many dimensions, has a strong data science orientation. He has published extensively on likelihood methods for measuring statistical evidence and he recently proposed the ‘second-generation’ p-value, which has the inferential properties that many scientists hope, or believe, are attributes of the classic p-value. Dr. Blume has extensive experience in the development, operation, analysis, and methodological aspects of clinical trials and observational biomedical research. He has co-authored numerous collaborative works relating to clinical trials for diagnostic tests, cancer imaging, radiology and lung cancer, women’s health, nephrology, structural biology, and racial disparities in prostate and lung cancer and in GRE Scores. Dr. Blume is a Fellow of the American Statistical Association and the American Association for the Advancement of Science. He was award Vanderbilt’s Chancellor Award for Research Equity, Diversity, and Inclusion in 2020 and awarded the Spinoza Chair in Medicine by the University of Amsterdam in 2019.